A novel unsupervised technique for the detection of changes in multi-temporal remote sensing images is presented. It adaptively exploits the spatial-contextual information contained in the neighbourhood of each pixel to reduce the effects of noise and hence to increase change-detection accuracy. In addition, the proposed definition of an adaptive pixel neighbourhood allows a precise location of the borders of changed areas. © 2000 Taylor & Francis Group, LLC.
An adaptive parcel-based technique for unsupervised change detection
Bruzzone, Lorenzo;
2000-01-01
Abstract
A novel unsupervised technique for the detection of changes in multi-temporal remote sensing images is presented. It adaptively exploits the spatial-contextual information contained in the neighbourhood of each pixel to reduce the effects of noise and hence to increase change-detection accuracy. In addition, the proposed definition of an adaptive pixel neighbourhood allows a precise location of the borders of changed areas. © 2000 Taylor & Francis Group, LLC.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
